4 results about "Central sleep apnea" patented technology

An implantable medical device for treating breathing disorders such as central sleep apnea wherein stimulation is provided to the phrenic nerve through a transvenous lead system with the stimulation beginning after inspiration to extend the duration of a breath and to hold the diaphragm in a contracted condition.

A method includes delivering, via a first stimulation element and during a treatment period, stimulation to an upper airway patency-related nerve to cause contraction of upper airway patency-related muscles. The method also may include delivering upon detecting central sleep apnea behavior, via a second stimulation element and during a treatment period, stimulation to a central sleep apnea-related nerve. The method also may include delivering the stimulation to the upper airway patency-related nerve independently of a decisional process and trigger to deliver stimulation to the different central sleep apnea-related nerve.

Provided are systems, methods and computer-readable media for breathing signal analysis and event detection and systems, methods and computer-readable media for generating respiratory flow and / or effort signals from accelerometer signals using trained models. Breathing signal analysis may characterize at least one recorded signal as indicative of one of Obstructive Sleep Apnea (OSA) and Central Sleep Apnea (CSA). This analysis includes determining a frequency domain representation of an audio signal; sorting at least one frequency interval component into at least one corresponding frequency bin; determining a signal-to-noise ratio (SNR) signal for each frequency bin during a candidate time period; and determining an indication of an OSA event or a CSA event.

This application discloses a method, controller, sleep monitoring device, and storage medium for determining central sleep apnea. The method includes acquiring real-time cardiac impulse signals, acquiring a first array of data and a second array of data based on the cardiac impulse signals, determining an apnea threshold based on the first array of data, and comparing the second array of data with the apnea threshold. If the absolute values ​​of all values ​​in the second array of data are less than the apnea threshold, then central sleep apnea has occurred. This application adaptively determines an apnea threshold that matches the user's situation. The apnea threshold can comprehensively characterize the user's breathing status under normal breathing conditions in a fine-grained and personalized manner. Then, the second array of data is automatically compared with the apnea threshold to automatically determine whether the user has central sleep apnea, which helps to screen for related disease risks.